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https://issues.apache.org/jira/browse/YARN-4053?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14697583#comment-14697583
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Vrushali C commented on YARN-4053:
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Hmm good points. 

I think all metrics should be stored of the same type else we have to deal with 
knowing which metric is of which type and would need to store metadata to know 
how to read it back. Storing it as an ascii value is not good, we need to be 
able to query for things like less than greater than etc. 

My vote is for going with Longs for all metrics right now unless there is a 
very strong use case where only decimals will do. We truncate (cast down) 
decimals to long if we receive any, so 99.9 means 99. I realize this is 
restrictive but my thinking is that instead of trying to do everything for this 
current ATS release, let's go with Longs and see if we really need decimal 
precision. If we do, we can revisit and modify to accept more data types. cc 
[~jrottinghuis] 


> Change the way metric values are stored in HBase Storage
> --------------------------------------------------------
>
>                 Key: YARN-4053
>                 URL: https://issues.apache.org/jira/browse/YARN-4053
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>    Affects Versions: YARN-2928
>            Reporter: Varun Saxena
>            Assignee: Varun Saxena
>
> Currently HBase implementation uses GenericObjectMapper to convert and store 
> values in backend HBase storage. This converts everything into a string 
> representation(ASCII/UTF-8 encoded byte array).
> While this is fine in most cases, it does not quite serve our use case for 
> metrics. 
> So we need to decide how are we going to encode and decode metric values and 
> store them in HBase.
>  



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